Statistical Analysis of Research Data
Overview: Recent advances in cancer biology have resulted in the need for increased statistical analysis of research data. SARD is designed to provide an overview on the general principles of statistical analysis of research data.
The Statistical Analysis of Research Data (SARD) course will be held virtually by WebEx on January 26 and January 31, 2022 as well February 9 and February 14, 2022 from 1:00 - 5:00 p.m. at the National Institutes of Health.
The course will be taught by Paul W. Thurman of Columbia University. The first day will feature univariate data analysis, including descriptive statistics, random sampling and estimating a population mean. The second day will describe inferential statistics, two sample tests of means and small versus large sample consideration. The third day will feature bivariant statistics including simple linear regression and regression diagnostics. The fourth day will discuss multivariate data analysis including multiple regression, non-parametric tools and goodness of fit tests.
- The participation of NIH clinical and postdoctoral fellows are encouraged.
- Class size is limited to the first 125 registrants.
Paul Thurman, M.B.A., Columbia University
Registration is now CLOSED. The course will be directed by Dr. Terry Moody, phone (240-276-7785).
Location and General Information
The sessions will start at 1:00 p.m and conclude at 5:00 p.m.
Related Training Opportunities
This course is part of a developing curriculum for training of NCI clinical and postdoctoral fellows. Each Fall, a course in "Translational Research in Clinical Oncology" (TRACO) hosted by Dr. T. Moody is offered primarily for NIH postdoctoral fellows.
Also Demystifying Medicine for PhDs has 2 hours of lecture each week from January-May and the course is hosted by Dr. Irvin M. Arias. For additional opportunities for postdoctoral training at NIH, view https://www.training.nih.gov/
Contact Dr. Terry Moody at firstname.lastname@example.org or 240-276-7785.
William. D. Figg, Pharm.D.
Terry Moody, PhD
Paul Thurman, MBA
Oliver Bogler, PhD